Format of Original
Institute of Electrical and Electronics Engineers (IEEE)
Proceedings of 2002 IEEE 10th Digital Signal Processing Workshop, and the 2nd Signal Processing Education Workshop
A novel method for classifying speech phonemes is presented. Unlike traditional cepstral based methods, this approach uses histograms of reconstructed phase spaces. A naive Bayes classifier uses the probability mass estimates for classification. The approach is verified using isolated fricative, vowel, and nasal phonemes from the TIMIT corpus. The results show that a reconstructed phase space approach is a viable method for classification of phonemes, with the potential for use in a continuous speech recognition system.
Ye, Jinjin; Povinelli, Richard J.; and Johnson, Michael T., "Phoneme Classification Using Naïve Bayes Classifier in Reconstructed Phase Space" (2002). Electrical and Computer Engineering Faculty Research and Publications. 165.